Stability analysis of impulsive stochastic Cohen–Grossberg neural networks driven by G-Brownian motion

Yong Ren, Yuanfang Gu, Qing Jie Zhou · International Journal of Control · 2017

This paper is devoted to study the stability of a class of impulsive stochastic Cohen–Grossberg neural networks driven by G-Brownian motion. By means of G-Lyapunov function, Borel–Cantelli lemma and inequality technique, a series of sufficient conditions on pth moment stability and quasi-sure stability with respect to a general decay function are established. A concrete example is given to illustrate the obtained results.

Read the paper · More papers on PaperTik